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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. 19544
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    Explanations

    different types or classifications of things

    oai_token-act-pair · gpt-3.5-turbo

    phrases that inquire about types or categories of things

    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
    umsy
    -0.75
    YR
    -0.72
    mma
    -0.67
    VEL
    -0.67
    ĸļ
    -0.66
    MED
    -0.63
    alk
    -0.62
    estern
    -0.62
    culated
    -0.61
    MER
    -0.61
    POSITIVE LOGITS
     constitutes
    0.77
     havoc
    0.75
     impressions
    0.69
     awaits
    0.68
     qualifies
    0.68
     tastes
    0.67
    soever
    0.66
     determines
    0.63
     sucks
    0.62
    ?]
    0.61
    Activations Density 0.055%

    No Known Activations