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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. 10-RES-JB
    11. 5229
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    INDEX
    Explanations

    concepts or thoughts emphasized by the repetition of the word "idea"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce or elaborate on various concepts or ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.60
    tower
    -0.57
     Coverage
    -0.57
    FACE
    -0.57
     Highlights
    -0.56
    ãĤĮ
    -0.56
    ndum
    -0.55
    haar
    -0.55
    çĦ
    -0.55
    hma
    -0.55
    POSITIVE LOGITS
    ually
    0.84
     behind
    0.82
    orial
    0.81
    ality
    0.80
     horr
    0.79
     hatched
    0.78
     that
    0.77
     moot
    0.76
    itious
    0.75
     floated
    0.75
    Activations Density 0.050%

    No Known Activations