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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. 3130
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a specific concept or entity repeatedly mentioned in a document

    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
    ussen
    -0.78
     Sweeney
    -0.64
     convictions
    -0.62
    acca
    -0.62
     pneum
    -0.61
     Bers
    -0.60
     NF
    -0.60
    acco
    -0.60
    osa
    -0.59
     Codec
    -0.59
    POSITIVE LOGITS
    lings
    1.19
    worms
    1.11
    worm
    1.05
    arium
    1.01
    sea
    1.00
    Bound
    0.97
    shine
    0.96
    leigh
    0.94
    works
    0.93
     orbiting
    0.92
    Activations Density 0.042%

    No Known Activations