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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. 6-RES-JB
    11. 9208
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    Explanations

    phrases related to people finding themselves in various situations

    oai_token-act-pair · gpt-3.5-turbo

    reflexive pronouns indicating a sense of personal involvement or reflection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.70
    ulton
    -0.67
    imedia
    -0.67
    omy
    -0.66
    idine
    -0.64
    IQ
    -0.64
    asus
    -0.63
    idy
    -0.63
    izes
    -0.62
     Tycoon
    -0.62
    POSITIVE LOGITS
     trapped
    0.86
     wondering
    0.86
     stranded
    0.83
     needing
    0.83
     wanting
    0.81
     besieged
    0.80
     embroiled
    0.79
     stuck
    0.79
     immersed
    0.78
    hler
    0.77
    Activations Density 0.029%

    No Known Activations