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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. 9-RES-JB
    11. 20775
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    Explanations

    personal reasons or motivations behind actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns associated with a sense of victimization or blame

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Eleven
    -0.66
     Millennium
    -0.65
    ntil
    -0.64
     Towards
    -0.64
    jri
    -0.61
     Around
    -0.61
     Dayton
    -0.60
     Voy
    -0.58
     Opening
    -0.58
     Deg
    -0.58
    POSITIVE LOGITS
     lacked
    1.06
     knew
    1.03
     feared
    1.00
     dared
    0.98
     forgot
    0.97
     couldn
    0.94
     didn
    0.94
     lacks
    0.91
     believe
    0.90
     wanted
    0.90
    Activations Density 0.172%

    No Known Activations