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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. 6-RES-JB
    11. 11586
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    Explanations

    words related to collecting or gathering data

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to data collection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.70
    generic
    -0.68
    shr
    -0.68
    lane
    -0.67
    wrap
    -0.65
    brace
    -0.65
    core
    -0.63
    sac
    -0.63
    minent
    -0.62
    con
    -0.62
    POSITIVE LOGITS
     signatures
    0.85
    enance
    0.84
     DATA
    0.81
    STON
    0.74
    ennial
    0.72
    oton
    0.71
     microphones
    0.69
    ãĥķãĤ¡
    0.69
    itatively
    0.69
     collected
    0.69
    Activations Density 0.028%

    No Known Activations