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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. 8644
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    Explanations

    descriptions related to various physical objects and locations

    oai_token-act-pair · gpt-3.5-turbo

    objects and physical descriptions within a narrative

    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
     Insider
    -0.69
    represented
    -0.69
     Photos
    -0.66
     Flavoring
    -0.65
    racuse
    -0.65
     Born
    -0.64
    ijuana
    -0.64
    DEF
    -0.63
     Acceler
    -0.62
     Payments
    -0.62
    POSITIVE LOGITS
    maid
    0.89
    cloth
    0.88
    bag
    0.88
     mattress
    0.86
     adorned
    0.86
    bottom
    0.84
     porch
    0.83
    tops
    0.83
     basket
    0.82
     sofa
    0.82
    Activations Density 0.533%

    No Known Activations