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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. 3041
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    âĶĢâĶĢ
    -0.88
    ··
    -0.74
     underwater
    -0.70
     outdoors
    -0.68
    etheless
    -0.67
     Atom
    -0.66
    BILITIES
    -0.63
    FORMATION
    -0.63
     archived
    -0.59
    ATIONAL
    -0.59
    POSITIVE LOGITS
    uzz
    1.09
    acci
    1.08
    nick
    1.07
    aldi
    1.07
    igl
    1.04
    insky
    1.04
    ucci
    1.03
    acio
    1.02
    iott
    1.01
    iani
    1.01
    Activations Density 0.192%

    No Known Activations