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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. 4-RES-JB
    11. 13152
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    Explanations

    phrases indicating information or actions based on reports, investigations, or court records

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" repeatedly, indicating a focus on connections or additions in information

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

    No Comments

    Negative Logits
    kees
    -0.72
    Boss
    -0.71
    Deal
    -0.71
    onga
    -0.71
    culus
    -0.69
    Tes
    -0.66
    NULL
    -0.65
    bo
    -0.65
    uta
    -0.64
    .*
    -0.64
    POSITIVE LOGITS
     therefore
    1.07
     consequently
    1.01
     thus
    0.94
     hence
    0.91
     then
    0.90
     thereby
    0.83
     oversaw
    0.76
     assorted
    0.72
     possibly
    0.72
     incorporates
    0.72
    Activations Density 0.790%

    No Known Activations