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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. 1-RES-JB
    11. 8875
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    Explanations

    names ending in "-kov."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific name or identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĨ
    -0.74
     ISI
    -0.73
    LOAD
    -0.71
    Course
    -0.71
    Forest
    -0.68
     Frog
    -0.66
    ãĥ¼ãĥ³
    -0.66
    Uncommon
    -0.65
    Ground
    -0.64
     Hearts
    -0.64
    POSITIVE LOGITS
    kov
    1.31
    ski
    1.11
    akov
    1.08
    achev
    1.07
    rov
    1.06
    sky
    1.06
    lov
    0.93
    inson
    0.93
    ombat
    0.91
    ertodd
    0.90
    Activations Density 0.006%

    No Known Activations