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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. 13560
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    Explanations

    instances of the word "went"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "went"

    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
    ullah
    -0.74
    ament
    -0.73
    eers
    -0.72
    creen
    -0.71
    icio
    -0.71
    itionally
    -0.67
    oret
    -0.63
    relevant
    -0.61
    ificent
    -0.60
    ortium
    -0.59
    POSITIVE LOGITS
    vt
    1.02
     overboard
    1.00
    verning
    0.93
     ahead
    0.90
     viral
    0.89
    ggle
    0.89
    Ń·
    0.88
    ©¶æ
    0.88
    lems
    0.86
     forth
    0.83
    Activations Density 0.102%

    No Known Activations