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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. 3-RES-JB
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    Explanations

    references to lobbyists

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lobbyists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Condition
    -0.76
    forth
    -0.73
    grain
    -0.72
    resp
    -0.69
    mental
    -0.69
    thritis
    -0.68
    spell
    -0.68
    birth
    -0.66
    condition
    -0.66
    soon
    -0.65
    POSITIVE LOGITS
     lobbyist
    1.05
     lobbyists
    0.97
     lobbying
    0.89
    ervatives
    0.76
    ervative
    0.73
     playbook
    0.73
     pedd
    0.73
     sten
    0.72
     lobby
    0.71
     ALEC
    0.71
    Activations Density 0.014%

    No Known Activations