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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. 1883
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    Explanations

    instances of actions or events hidden from the public or done in privacy

    oai_token-act-pair · gpt-3.5-turbo

    references to secrecy and concealed actions

    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
    intent
    -0.84
    andum
    -0.83
    arya
    -0.77
    nesota
    -0.75
    ku
    -0.73
    ————
    -0.71
    CTV
    -0.67
    IVERS
    -0.65
    alter
    -0.63
     Rewards
    -0.63
    POSITIVE LOGITS
     doors
    1.00
     door
    0.90
     minded
    0.88
     Caption
    0.85
    closed
    0.81
     loop
    0.81
     circuit
    0.80
     lid
    0.79
     sep
    0.79
     eyel
    0.79
    Activations Density 0.056%

    No Known Activations