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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. 1-RES-JB
    11. 10411
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    Explanations

    references to the specific film format of "70mm"

    oai_token-act-pair · gpt-3.5-turbo

    references to the 70 mm film format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hold
    -0.71
    yang
    -0.71
    vern
    -0.67
     Submission
    -0.66
    uler
    -0.65
    lay
    -0.65
    holding
    -0.64
    anke
    -0.64
     screened
    -0.63
    going
    -0.63
    POSITIVE LOGITS
     ILCS
    1.32
    70
    0.88
    izabeth
    0.86
     msec
    0.85
    80
    0.83
    %);
    0.82
    CTV
    0.82
    atform
    0.79
    «ĺ
    0.79
    mph
    0.78
    Activations Density 0.028%

    No Known Activations