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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. 16598
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    Explanations

    mentions of expert opinions or someone making authoritative statements

    oai_token-act-pair · gpt-3.5-turbo

    period punctuation marks

    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
     ogre
    -0.77
     affili
    -0.75
     ditch
    -0.73
     sleeper
    -0.73
     loyalty
    -0.73
     juice
    -0.71
     recomm
    -0.71
     interference
    -0.70
     awaken
    -0.70
     transact
    -0.70
    POSITIVE LOGITS
    psc
    1.02
     Though
    1.00
     Previously
    0.97
     Initially
    0.96
     Regarding
    0.95
     Firstly
    0.95
     Exactly
    0.94
     Whilst
    0.93
     Although
    0.93
     Perhaps
    0.93
    Activations Density 0.109%

    No Known Activations