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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. 11-RES-JB
    11. 21530
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    Explanations

    expressions related to directness or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    idiomatic expressions related to hitting or missing targets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horm
    -0.65
    amaru
    -0.64
    arcity
    -0.63
     warr
    -0.63
    arov
    -0.63
    Gam
    -0.63
     confir
    -0.60
     destro
    -0.60
    ipl
    -0.60
    illary
    -0.56
    POSITIVE LOGITS
     financially
    0.90
     offensively
    0.83
    tails
    0.77
     regarding
    0.75
     academ
    0.74
    heet
    0.74
     defensively
    0.72
     economically
    0.71
     politically
    0.70
     again
    0.69
    Activations Density 0.442%

    No Known Activations