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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. 10-RES-JB
    11. 18570
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    INDEX
    Explanations

    keywords related to physical characteristics such as size, shape, length, and strength

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to dimensions and characteristics of objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odcast
    -0.79
    anamo
    -0.73
    ndum
    -0.72
    ivan
    -0.71
    ievers
    -0.71
    idav
    -0.71
    inea
    -0.70
    roo
    -0.69
    Beck
    -0.69
    behind
    -0.69
    POSITIVE LOGITS
     thickness
    1.57
     size
    1.48
     complexity
    1.47
     severity
    1.46
     length
    1.44
     breadth
    1.43
     width
    1.43
     quantity
    1.43
     intensity
    1.40
     depth
    1.40
    Activations Density 0.170%

    No Known Activations