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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. 3716
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    Explanations

    terms related to explanation and description

    oai_token-act-pair · gpt-3.5-turbo

    terminologies and concepts related to framing narratives in discussions

    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
     stockpile
    -0.68
     constituent
    -0.66
     stocks
    -0.60
     stockp
    -0.60
    loads
    -0.60
     registrations
    -0.59
    Lago
    -0.58
     registry
    -0.58
    icable
    -0.58
     donation
    -0.58
    POSITIVE LOGITS
     notions
    0.90
    lance
    0.85
    interpret
    0.84
     interpretations
    0.81
     skept
    0.80
    peak
    0.80
     metaphor
    0.80
     loosely
    0.77
     Interpret
    0.75
     asc
    0.74
    Activations Density 0.742%

    No Known Activations