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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. 16636
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    Explanations

    adjectives related to properties or qualities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to resistance and resilience

    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
    BuyableInstoreAndOnline
    -0.70
    luaj
    -0.67
     unfocusedRange
    -0.67
    arij
    -0.65
    MpServer
    -0.63
    ovember
    -0.60
    reenshots
    -0.60
    ancies
    -0.58
    ?]
    -0.57
    ãĥĥãĥĪ
    -0.56
    POSITIVE LOGITS
    ,—
    0.96
    —
    0.95
     —
    0.89
    —"
    0.86
    .
    0.82
    —-
    0.79
     someday
    0.76
    ;
    0.74
    ––
    0.73
    )—
    0.72
    Activations Density 0.964%

    No Known Activations