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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. 3-RES-JB
    11. 20545
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    INDEX
    Explanations

    mentions of support or funding within a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "reader" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agascar
    -0.77
    rity
    -0.76
    aurus
    -0.74
    heet
    -0.73
    hips
    -0.69
    ensical
    -0.69
    und
    -0.68
    icut
    -0.66
    liga
    -0.65
    rament
    -0.65
    POSITIVE LOGITS
    OGR
    0.87
     reader
    0.84
    ="#
    0.81
    andom
    0.77
    itatively
    0.74
    sonian
    0.74
    atical
    0.74
    friend
    0.73
    hook
    0.72
    boy
    0.71
    Activations Density 0.036%

    No Known Activations