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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. 9-RES-JB
    11. 8600
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    Explanations

    the word "nothing" with various levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "nothing."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odan
    -0.76
    nikov
    -0.70
    grad
    -0.69
    ilt
    -0.66
     Lanka
    -0.66
    PsyNetMessage
    -0.65
    ocard
    -0.63
    asio
    -0.62
     srf
    -0.62
    orks
    -0.61
    POSITIVE LOGITS
     else
    1.44
    Else
    1.08
     whatsoever
    1.03
    ness
    0.98
    nesses
    0.90
     Else
    0.83
    except
    0.83
     except
    0.83
     remotely
    0.81
     resembling
    0.80
    Activations Density 0.045%

    No Known Activations