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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the number "zero"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "zero"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.84
    soDeliveryDate
    -0.74
    icken
    -0.74
    areth
    -0.74
    lov
    -0.71
    gary
    -0.70
    Sov
    -0.69
    akov
    -0.68
    ammad
    -0.68
    Interstitial
    -0.68
    POSITIVE LOGITS
     zero
    0.87
    zero
    0.83
     Hedge
    0.81
     Escape
    0.79
     digit
    0.71
    lessly
    0.70
     percent
    0.70
     tolerance
    0.69
     volts
    0.69
     amount
    0.69
    Activations Density 0.017%

    No Known Activations