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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. 9527
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    Explanations

    baseball statistics and information related to home runs

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to baseball statistics and movie remakes

    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
    opian
    -0.87
    poses
    -0.67
    notes
    -0.66
    arov
    -0.66
     Circus
    -0.66
    pose
    -0.63
    por
    -0.63
    usky
    -0.62
    edi
    -0.62
    prison
    -0.61
    POSITIVE LOGITS
    soever
    0.91
    creen
    0.89
    ynthesis
    0.81
    peed
    0.73
    rd
    0.72
    sonian
    0.72
    ï¸ı
    0.67
     rpm
    0.67
    enance
    0.67
    ãĤ´ãĥ³
    0.65
    Activations Density 0.030%

    No Known Activations