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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. 1-RES-JB
    11. 2786
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    Explanations

    multi-word terms related to large sums of money

    oai_token-act-pair · gpt-3.5-turbo

    terms related to large quantities and types of media or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cko
    -0.74
    ãĥł
    -0.72
     Wolves
    -0.72
    BIP
    -0.71
     Defenders
    -0.71
    Fed
    -0.71
    UTION
    -0.71
     Upton
    -0.70
     Statue
    -0.69
    ————————————————
    -0.69
    POSITIVE LOGITS
     multit
    1.06
    izoph
    1.00
     multip
    0.94
    amera
    0.91
     multif
    0.85
    ortion
    0.83
    rodu
    0.82
    absor
    0.82
     multic
    0.80
    eval
    0.78
    Activations Density 0.010%

    No Known Activations