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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. 22857
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    Explanations

    Abstract concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to objectives, questions, and assumptions

    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
    idth
    -0.69
    NK
    -0.63
    anol
    -0.62
    yrics
    -0.60
     condem
    -0.60
    headers
    -0.60
    wow
    -0.59
    details
    -0.59
    akin
    -0.58
     srf
    -0.58
    POSITIVE LOGITS
     firsthand
    0.82
     ourselves
    0.81
    .<
    0.75
     myself
    0.74
    ality
    0.73
     ASAP
    0.70
    .</
    0.69
    .
    0.68
    .$
    0.68
     rig
    0.68
    Activations Density 0.292%

    No Known Activations