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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. 7-RES-JB
    11. 11109
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    Explanations

    phrases indicating hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements indicating hypothetical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     assemble
    -0.68
    FTWARE
    -0.67
    axy
    -0.64
    azeera
    -0.63
    isi
    -0.62
    ilial
    -0.62
    ãĥŃ
    -0.61
     unfocusedRange
    -0.61
    STAR
    -0.61
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.60
    POSITIVE LOGITS
    fy
    0.95
     somebody
    0.81
     someone
    0.79
     they
    0.79
    terday
    0.76
     McKin
    0.74
     lett
    0.74
    yip
    0.72
     landlords
    0.72
    ornia
    0.69
    Activations Density 0.052%

    No Known Activations