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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. 2-RES-JB
    11. 4337
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    Explanations

    adjectives or phrases related to the literal interpretation of language or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to literal interpretations and their contrasts with metaphorical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.78
    pered
    -0.73
    spr
    -0.68
     Solitaire
    -0.67
     Neighbor
    -0.66
    resses
    -0.65
    reau
    -0.64
     Share
    -0.64
    ICS
    -0.63
    pta
    -0.63
    POSITIVE LOGITS
     literal
    0.98
    orical
    0.86
    TY
    0.78
     interpretation
    0.75
     analogue
    0.75
     truth
    0.72
    jury
    0.72
     incarnation
    0.71
    orically
    0.70
     illiter
    0.70
    Activations Density 0.007%

    No Known Activations