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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. 9-RES-JB
    11. 19777
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    Explanations

    phrases related to essential or central concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate central themes or core concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    apon
    -0.69
    intend
    -0.64
    byter
    -0.63
    zin
    -0.60
     vomit
    -0.58
    isha
    -0.58
     vom
    -0.58
    ermott
    -0.57
    ancies
    -0.57
    ima
    -0.57
    POSITIVE LOGITS
    strings
    1.00
    waters
    0.95
     thereof
    0.94
     of
    0.91
    most
    0.84
    layer
    0.73
    plates
    0.73
    points
    0.72
    sole
    0.71
    gro
    0.70
    Activations Density 0.074%

    No Known Activations