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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. 1565
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    Explanations

    timestamps of specific events or activities

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or timestamps

    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
    atem
    -0.72
    estine
    -0.68
    hell
    -0.66
     Incarn
    -0.64
     forgiven
    -0.64
    agos
    -0.63
     suscept
    -0.63
    ques
    -0.62
    ozo
    -0.62
    atis
    -0.62
    POSITIVE LOGITS
    00
    1.05
    01
    1.00
    30
    0.89
    raction
    0.85
     09
    0.83
     03
    0.82
    EMBER
    0.82
     02
    0.81
     06
    0.80
     05
    0.80
    Activations Density 0.040%

    No Known Activations