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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. 3-RES-JB
    11. 8717
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to abstract ideas or conceptual frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.80
    emetery
    -0.66
    ursed
    -0.65
     lone
    -0.64
    odder
    -0.62
     isot
    -0.62
     dining
    -0.59
    vous
    -0.59
     sudden
    -0.58
    ideo
    -0.58
    POSITIVE LOGITS
    ually
    1.29
     concepts
    0.84
    matically
    0.82
    matic
    0.82
    ĸļ
    0.81
    ically
    0.80
    uality
    0.80
    ual
    0.79
    LAB
    0.79
    ality
    0.76
    Activations Density 0.019%

    No Known Activations