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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. 14178
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    Explanations

    verbs indicating action or behavior conducted by groups or individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions and their repetitions in a comparative context

    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
    Published
    -0.68
    ussed
    -0.63
    urst
    -0.63
    theless
    -0.63
    cipled
    -0.62
    iken
    -0.61
    isphere
    -0.61
    asta
    -0.60
    ussen
    -0.59
    uses
    -0.59
    POSITIVE LOGITS
    pez
    0.86
    zed
    0.74
     whenever
    0.73
     when
    0.68
    zing
    0.68
     during
    0.65
    igmatic
    0.63
    actic
    0.63
    rex
    0.62
     throughout
    0.62
    Activations Density 0.057%

    No Known Activations