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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. 3-RES-JB
    11. 18574
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    Explanations

    terms related to theoretical frameworks or analyses, particularly theorems or theoretical concepts

    oai_token-act-pair · gpt-3.5-turbo

    theoretical concepts related to analysis and critique

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dress
    -0.69
    Desk
    -0.66
    words
    -0.65
    photos
    -0.62
    Wave
    -0.61
     impression
    -0.60
    emetery
    -0.60
    producing
    -0.60
    river
    -0.59
    walking
    -0.58
    POSITIVE LOGITS
    hene
    0.93
    oret
    0.92
    ical
    0.88
    MpServer
    0.87
    eenth
    0.87
    iel
    0.86
    istries
    0.83
    ain
    0.80
    te
    0.80
    inal
    0.80
    Activations Density 0.011%

    No Known Activations