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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. 20620
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    INDEX
    Explanations

    words related to positive aspects or actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and inquiries about individuals

    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
    QUIRE
    -0.65
    asonable
    -0.61
     compr
    -0.60
     accumulating
    -0.60
     suspic
    -0.58
     describ
    -0.58
    vantage
    -0.58
    olutions
    -0.57
     awa
    -0.57
    anyon
    -0.56
    POSITIVE LOGITS
    soDeliveryDate
    0.75
    fal
    0.72
    ãģ£
    0.69
     Cind
    0.63
    ãĥ¬
    0.62
     Sphere
    0.61
     congr
    0.60
    )'
    0.60
    itars
    0.59
    cussion
    0.58
    Activations Density 0.422%

    No Known Activations