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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. 6099
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    Explanations

    mentions of a specific word or name, 'Trump'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pump"

    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
    VERTISEMENT
    -0.79
    APH
    -0.71
    éĸ
    -0.69
    SHIP
    -0.69
    iances
    -0.67
     compr
    -0.66
     seiz
    -0.65
     FANTASY
    -0.64
     warr
    -0.64
    vez
    -0.61
    POSITIVE LOGITS
    osit
    1.08
    olitan
    1.03
    sters
    0.98
    ster
    0.97
    resents
    0.94
    ulse
    0.94
    olit
    0.92
    kin
    0.91
    erson
    0.89
    onent
    0.88
    Activations Density 0.058%

    No Known Activations