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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. 9503
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    Explanations

    phrases related to meeting or exceeding standards or expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to meeting or failing to meet expectations

    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
    [/
    -0.69
     mined
    -0.67
     Fidel
    -0.62
    ¯¯¯¯¯¯¯¯
    -0.62
     Fedora
    -0.61
    ->
    -0.61
     Gael
    -0.61
     Fant
    -0.60
     Blues
    -0.59
    >"
    -0.59
    POSITIVE LOGITS
    olicy
    0.76
    oulos
    0.74
    dates
    0.73
    480
    0.73
    rights
    0.73
    ended
    0.73
    grades
    0.71
    omorphic
    0.69
    adesh
    0.69
    imate
    0.68
    Activations Density 0.039%

    No Known Activations