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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. 7-RES-JB
    11. 3586
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    Explanations

    personal pronouns and possessive pronouns

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.87
     Ambro
    -0.73
     Flavoring
    -0.70
    ophe
    -0.66
    osponsors
    -0.66
     Akin
    -0.66
    zees
    -0.66
    ynasty
    -0.65
    nets
    -0.65
    cean
    -0.64
    POSITIVE LOGITS
     resent
    0.76
     disob
    0.76
     suffer
    0.76
     awoke
    0.74
     SHOULD
    0.71
     resisted
    0.69
     complied
    0.68
     consent
    0.67
     repaid
    0.67
     protested
    0.67
    Activations Density 0.518%

    No Known Activations