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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. 2-RES-JB
    11. 9370
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    Explanations

    terms related to measurements and data analysis techniques, especially those ending in '-ometric'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and assessment in various scientific and psychological contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ðĿ
    -0.74
    Ò
    -0.71
     Bee
    -0.68
    Cong
    -0.68
    PRE
    -0.66
    Ëľ
    -0.64
    ENDED
    -0.64
    WHERE
    -0.64
    clair
    -0.63
    ILE
    -0.63
    POSITIVE LOGITS
    ometric
    1.50
    ometry
    0.93
    etric
    0.93
    otos
    0.87
    rics
    0.87
    etry
    0.80
    tarians
    0.80
    ierrez
    0.78
    ause
    0.77
    ographically
    0.76
    Activations Density 0.018%

    No Known Activations