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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. 23296
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    INDEX
    Explanations

    words indicating frequency or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of typical or usual occurrences in various contexts

    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
    Reviewer
    -0.80
    udi
    -0.72
    atures
    -0.63
    hab
    -0.63
    uel
    -0.62
    ati
    -0.61
    ationally
    -0.60
    assi
    -0.58
    Monitor
    -0.58
    eem
    -0.58
    POSITIVE LOGITS
    entimes
    1.08
     accompanied
    1.03
     preceded
    0.96
     consists
    0.92
     consist
    0.86
     referred
    0.84
     consisted
    0.84
     abbrevi
    0.82
     shortened
    0.81
     accompanies
    0.81
    Activations Density 0.097%

    No Known Activations