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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. 23648
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    Explanations

    the presence of diagrams or schematics

    oai_token-act-pair · gpt-3.5-turbo

    references to diagrams and schematics

    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
     rainy
    -0.70
    ierra
    -0.67
    NetMessage
    -0.64
     diligence
    -0.64
     forc
    -0.63
    ternity
    -0.62
    odder
    -0.62
     stronghold
    -0.60
     misdem
    -0.60
    ggies
    -0.59
    POSITIVE LOGITS
    matically
    1.16
    matic
    1.12
     diagram
    1.08
    matical
    1.06
    ming
    0.96
     diagrams
    0.92
    clip
    0.85
    zag
    0.82
    hematic
    0.78
     illustrating
    0.77
    Activations Density 0.011%

    No Known Activations