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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. 18308
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    Explanations

    words related to wearing or putting on something

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "don" as it relates to negation or refusal

    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
    EStreamFrame
    -0.75
     safegu
    -0.63
     retard
    -0.62
     pus
    -0.61
     learning
    -0.60
     adversaries
    -0.60
     exha
    -0.59
     buffet
    -0.59
     ejected
    -0.59
    anwhile
    -0.58
    POSITIVE LOGITS
    't
    1.72
    ned
    1.52
    ates
    1.25
    uts
    1.17
    ning
    1.15
    keys
    1.13
    nered
    1.01
    ated
    1.00
    eness
    0.99
    ate
    0.96
    Activations Density 0.118%

    No Known Activations