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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. 7-RES-JB
    11. 3553
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    Explanations

    phrases or sentences discussing a particular context or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to various contexts in which events or concepts are analyzed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uala
    -0.79
    iens
    -0.76
    iant
    -0.72
    inates
    -0.65
    uster
    -0.64
    cop
    -0.64
    rious
    -0.63
    olini
    -0.62
    nuts
    -0.62
    alle
    -0.62
    POSITIVE LOGITS
     context
    0.98
     contexts
    0.78
     backdrop
    0.74
     broadly
    0.70
     Context
    0.67
    netflix
    0.66
     uncertain
    0.66
     broader
    0.66
     negatively
    0.64
     circumstances
    0.64
    Activations Density 0.042%

    No Known Activations