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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. 14588
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    INDEX
    Explanations

    phrases related to intensity or extremeness

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significant societal issues or critical points

    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
    stre
    -0.66
     McGee
    -0.63
    iland
    -0.62
    ansas
    -0.60
     overfl
    -0.59
    thia
    -0.59
    bots
    -0.58
     remembers
    -0.58
    phis
    -0.58
    bis
    -0.58
    POSITIVE LOGITS
     expense
    1.15
     forefront
    1.11
     outset
    1.04
     behest
    1.01
     level
    0.92
     fingertips
    0.88
     end
    0.86
     seams
    0.85
     detriment
    0.85
     peril
    0.84
    Activations Density 0.185%

    No Known Activations