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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. 18376
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    Explanations

    adjectives describing qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors that convey notable qualities or characteristics

    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
    ĸļ
    -0.87
    abus
    -0.83
    ossession
    -0.77
    ipedia
    -0.77
    someone
    -0.76
     tremend
    -0.76
    aucus
    -0.76
    cture
    -0.76
    anus
    -0.75
     Called
    -0.75
    POSITIVE LOGITS
     examples
    1.32
     instances
    1.22
     cases
    1.19
     aspects
    1.15
     incidents
    1.13
     factors
    1.12
    ities
    1.10
     pieces
    1.10
     additions
    1.10
     scenarios
    1.09
    Activations Density 0.433%

    No Known Activations