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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. 8912
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    Explanations

    phrases indicating a culmination or core aspect of a situation or issue

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conclusions or essential points being made

    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
     Highlights
    -0.69
    ahs
    -0.66
    ren
    -0.59
     Phant
    -0.58
     orbit
    -0.58
    swick
    -0.57
    Continue
    -0.56
     horizon
    -0.56
    ç«
    -0.55
    åº
    -0.55
    POSITIVE LOGITS
    ibaba
    0.69
    omorphic
    0.67
     perspect
    0.64
    ventus
    0.64
    ynamic
    0.64
    vote
    0.63
     valve
    0.62
    pmwiki
    0.62
     boils
    0.61
    PsyNetMessage
    0.60
    Activations Density 0.084%

    No Known Activations