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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. 2720
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    Explanations

    names of specific persons in a professional or official context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms

    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
     transitions
    -0.72
    izable
    -0.65
     crumble
    -0.63
     Combine
    -0.63
     deform
    -0.63
     decay
    -0.63
     horizont
    -0.63
     legality
    -0.63
     \'
    -0.62
     Stability
    -0.62
    POSITIVE LOGITS
     referring
    1.21
     adamant
    1.21
     skeptical
    1.17
     aware
    1.12
     scept
    1.09
     appalled
    1.09
     worried
    1.06
     convinced
    1.06
     dismay
    1.06
     pessimistic
    1.05
    Activations Density 0.349%

    No Known Activations