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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. 2-RES-JB
    11. 5893
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    INDEX
    Explanations

    justifiable or reasonable explanations for various scenarios or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to comprehension and acceptability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.87
    alion
    -0.80
    rongh
    -0.80
    rieg
    -0.76
    berman
    -0.76
    rix
    -0.74
    etry
    -0.73
    apixel
    -0.72
    inth
    -0.72
     experimented
    -0.72
    POSITIVE LOGITS
     understandable
    1.08
     "$:/
    0.75
    ãĥĥ
    0.74
     Mellon
    0.74
     indignation
    0.70
     enough
    0.69
    DragonMagazine
    0.69
     incomp
    0.69
    gif
    0.68
    URES
    0.67
    Activations Density 0.006%

    No Known Activations