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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. 3313
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    INDEX
    Explanations

    phrases indicating the location or position of objects

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant objects or locations in a narrative context

    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
    emort
    -0.77
    aiden
    -0.75
    emouth
    -0.68
    uel
    -0.67
     Cancel
    -0.65
    kid
    -0.63
    hist
    -0.60
    enna
    -0.60
    iak
    -0.60
    Deal
    -0.59
    POSITIVE LOGITS
     lies
    1.19
     lur
    1.13
     resides
    1.03
     there
    0.97
     sits
    0.96
     rests
    0.91
     hangs
    0.86
     emerges
    0.85
     stands
    0.85
     comes
    0.85
    Activations Density 0.301%

    No Known Activations