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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. 11-RES-JB
    11. 4203
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    Explanations

    terms related to crime and investigation

    oai_token-act-pair · gpt-3.5-turbo

    topics related to dramatic events and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oubted
    -0.67
    adj
    -0.65
    -)
    -0.63
    continue
    -0.62
    >)
    -0.60
     meanwhile
    -0.60
    awks
    -0.60
    Sources
    -0.60
    saf
    -0.59
     meantime
    -0.58
    POSITIVE LOGITS
     using
    0.88
     whilst
    0.84
     after
    0.80
     by
    0.79
    .[
    0.79
     while
    0.79
     during
    0.77
     because
    0.76
     when
    0.75
     due
    0.72
    Activations Density 0.875%

    No Known Activations