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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. 14280
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    Explanations

    past tense verbs related to actions or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences 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 @ 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
    creen
    -0.72
    icio
    -0.68
    ullah
    -0.68
     ---------
    -0.64
    adjusted
    -0.63
    pole
    -0.63
    ificent
    -0.63
    ingham
    -0.60
    hetti
    -0.58
    itionally
    -0.58
    POSITIVE LOGITS
     overboard
    1.03
    verning
    0.92
    vt
    0.90
     forth
    0.88
     viral
    0.87
     ballistic
    0.82
     ahead
    0.81
     bankrupt
    0.79
    ggle
    0.78
     MIA
    0.77
    Activations Density 0.099%

    No Known Activations