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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. 5444
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    Explanations

    the word "man" mentioned in different contexts

    oai_token-act-pair · gpt-3.5-turbo
    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
    tnc
    -0.84
    Import
    -0.75
    inventoryQuantity
    -0.70
    IVERS
    -0.68
    Integ
    -0.68
    Assembly
    -0.67
    éĹĺ
    -0.65
     Supplement
    -0.65
    Kids
    -0.64
    aeda
    -0.63
    POSITIVE LOGITS
    hunt
    1.57
    hood
    1.19
    uscript
    1.15
    volent
    1.09
    hattan
    1.09
    nered
    1.07
    gling
    1.00
    ifest
    0.93
     who
    0.92
    handled
    0.92
    Activations Density 0.085%

    No Known Activations