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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. 4362
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    Explanations

    phrases related to assessments and evaluations

    oai_token-act-pair · gpt-3.5-turbo

    references to evaluations or appraisals of situations or entities

    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
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    Negative Logits
    iery
    -0.73
    tiny
    -0.69
    ienced
    -0.68
    effic
    -0.67
    rop
    -0.67
    gm
    -0.66
    ordinate
    -0.66
     ILCS
    -0.65
    steamapps
    -0.65
    rys
    -0.64
    POSITIVE LOGITS
     assessment
    0.82
    ally
    0.78
     stance
    0.74
     of
    0.72
     recommendation
    0.70
    ality
    0.69
     criteria
    0.68
     Takeru
    0.68
     thereof
    0.67
     announcement
    0.67
    Activations Density 0.054%

    No Known Activations