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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. 1-RES-JB
    11. 6502
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    Explanations

    phrases or numbers related to specific quantities or metrics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to statistics or scores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ional
    -0.89
    ique
    -0.82
    ivity
    -0.82
    mire
    -0.81
    iques
    -0.75
    ning
    -0.75
    htaking
    -0.74
    rooms
    -0.71
    building
    -0.70
    fall
    -0.70
    POSITIVE LOGITS
    989
    0.98
     externalToEVAOnly
    0.94
    987
    0.93
    98
    0.92
    mph
    0.89
    765
    0.82
    78
    0.82
    58
    0.81
    794
    0.81
    80
    0.80
    Activations Density 0.062%

    No Known Activations