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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. 1-RES-JB
    11. 378
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    academic or theoretical concepts and analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dress
    -0.69
     Pilgrim
    -0.64
    photos
    -0.62
    cards
    -0.61
     Strikes
    -0.60
     stricken
    -0.59
    Advertisements
    -0.59
    walking
    -0.57
    Companies
    -0.57
    Ward
    -0.56
    POSITIVE LOGITS
    oret
    1.16
    hene
    0.93
    hemy
    0.89
    istries
    0.85
    orius
    0.84
    uren
    0.83
    icz
    0.83
     equival
    0.82
    ical
    0.81
    \\\\\\\\
    0.80
    Activations Density 0.006%

    No Known Activations