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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. 13795
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    Explanations

    mentions of layers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "layer" and related 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
    Not in Any Lists

    No Comments

    Negative Logits
    orie
    -0.83
    ILLE
    -0.83
    itarian
    -0.83
    hur
    -0.75
    iggurat
    -0.74
    ãĥīãĥ©
    -0.73
    lishing
    -0.72
    fully
    -0.72
    orial
    -0.71
    vez
    -0.70
    POSITIVE LOGITS
     thickness
    1.23
     layers
    1.17
     layer
    1.01
     veil
    0.78
     opacity
    0.77
     separ
    0.76
    coat
    0.74
    arity
    0.74
     coats
    0.73
    layer
    0.73
    Activations Density 0.063%

    No Known Activations