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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. 4-RES-JB
    11. 24168
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    Explanations

    verbs related to actions and interventions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and discussions of arrests and legal actions

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

    No Comments

    Negative Logits
    pires
    -0.53
     Kenn
    -0.50
     )]
    -0.50
     zo
    -0.47
     bond
    -0.47
     Sn
    -0.46
     Masquerade
    -0.46
     ty
    -0.45
     Mak
    -0.44
     Mal
    -0.44
    POSITIVE LOGITS
    senal
    0.67
    onite
    0.62
    lie
    0.56
     respectively
    0.56
    ieu
    0.54
    aroo
    0.53
    glers
    0.52
    uliffe
    0.52
    zona
    0.52
    \">
    0.51
    Activations Density 2.088%

    No Known Activations