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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. 15699
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    Explanations

    words related to bodies of water, specifically ponds

    oai_token-act-pair · gpt-3.5-turbo

    references to ponds

    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
     flights
    -0.64
     flight
    -0.64
     identities
    -0.63
    nces
    -0.63
    mson
    -0.63
     airlines
    -0.62
     impunity
    -0.62
     planes
    -0.61
    ccording
    -0.60
     buses
    -0.59
    POSITIVE LOGITS
     pond
    1.28
    ering
    1.03
    ered
    1.03
     Pond
    0.91
    erer
    0.91
    rast
    0.84
    esville
    0.84
    yard
    0.83
    ãĤ©
    0.82
    SourceFile
    0.80
    Activations Density 0.006%

    No Known Activations