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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. 4692
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    Explanations

    text indicating that a statement or claim is supported by evidence or analysis

    oai_token-act-pair · gpt-3.5-turbo

    statements or claims that are presented as being founded on certain sources or evidence

    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
    shr
    -0.82
    nel
    -0.77
     Donovan
    -0.75
    osen
    -0.74
    antha
    -0.73
    ESE
    -0.72
    dra
    -0.69
    ests
    -0.67
    Ju
    -0.66
    icut
    -0.65
    POSITIVE LOGITS
     loosely
    0.85
     upon
    0.79
    awaru
    0.76
     solely
    0.75
     based
    0.75
     paycheck
    0.66
    hedral
    0.65
     billing
    0.64
    itiz
    0.64
     crowdfunding
    0.64
    Activations Density 0.029%

    No Known Activations