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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. 7-RES-JB
    11. 3893
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    INDEX
    Explanations

    the last names of the authors of research papers

    oai_token-act-pair · gpt-3.5-turbo

    citations and references to other research studies or authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OUNT
    -0.74
    canon
    -0.73
    FUL
    -0.71
    IFT
    -0.67
    esses
    -0.64
    ardless
    -0.64
    é¾įå¥ij士
    -0.64
    OWS
    -0.63
    ESSION
    -0.63
    rontal
    -0.63
    POSITIVE LOGITS
     seq
    1.12
     al
    0.97
    rics
    0.89
    jee
    0.86
     Associates
    0.82
    sis
    0.80
    ree
    0.79
    rees
    0.77
    uary
    0.75
    hetically
    0.75
    Activations Density 0.010%

    No Known Activations