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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. 7553
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    Explanations

    words related to wood and forestry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to crowing and timber

    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
    ento
    -0.94
    ayne
    -0.81
    ktop
    -0.81
    ãĤ£
    -0.77
    ira
    -0.76
    amel
    -0.74
    eteria
    -0.73
    hran
    -0.73
    olean
    -0.72
    ierrez
    -0.71
    POSITIVE LOGITS
     lumber
    0.80
     crow
    0.77
    0.76
     Timber
    0.73
     sled
    0.69
     raft
    0.68
     Mariners
    0.68
     Kinnikuman
    0.68
    hover
    0.66
     framing
    0.63
    Activations Density 0.031%

    No Known Activations