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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. 3320
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    Explanations

    references to academic institutions and publications

    oai_token-act-pair · gpt-3.5-turbo

    references to national academic institutions and their publications

    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
    cham
    -0.70
     haun
    -0.67
    atro
    -0.61
    cern
    -0.60
    liam
    -0.60
    oak
    -0.59
    flag
    -0.59
    MON
    -0.58
    orget
    -0.58
    bub
    -0.58
    POSITIVE LOGITS
    ournal
    0.66
     Publications
    0.64
     Statistical
    0.61
    ITNESS
    0.60
     aspirin
    0.58
    clerosis
    0.58
    omial
    0.58
     primates
    0.57
    animous
    0.56
    cano
    0.56
    Activations Density 0.094%

    No Known Activations