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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1885
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    INDEX
    Explanations

    occurrences where both 'men' and 'women' are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    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
    00007
    -0.77
    URR
    -0.77
    inventoryQuantity
    -0.72
     disapp
    -0.67
    BIP
    -0.66
    lihood
    -0.66
    ongo
    -0.65
    ensor
    -0.64
    Reloaded
    -0.63
    GMT
    -0.63
    POSITIVE LOGITS
     women
    1.44
     woman
    1.32
     female
    1.18
     WOM
    1.18
     females
    1.17
    women
    1.15
     girls
    1.13
     boys
    1.13
     Females
    1.12
    female
    1.11
    Activations Density 0.158%

    No Known Activations