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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 906
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    Explanations

    words related to the action of spreading out or scattering from a concentrated area

    oai_token-act-pair · gpt-4-turbo

    words related to dispersal or dispersion

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to dispersion or scattering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Jac
    -0.79
    ourke
    -0.70
    ocene
    -0.70
    tt
    -0.67
    Ranked
    -0.67
    iasis
    -0.66
    orth
    -0.66
     Schwarzenegger
    -0.65
    aternity
    -0.65
    historic
    -0.65
    POSITIVE LOGITS
     disperse
    1.28
     dispers
    1.24
     dispersed
    0.97
    ptives
    0.76
    ADRA
    0.74
     curfew
    0.74
     warr
    0.74
     awa
    0.74
     packets
    0.71
     scattering
    0.68
    Activations Density 0.014%

    No Known Activations