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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. 11695
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    Explanations

    phrases related to something standing out or being noticed

    oai_token-act-pair · gpt-3.5-turbo

    key phrases that indicate notable observations or standout elements in a discussion or narrative

    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
     ..............
    -0.74
    olor
    -0.65
    anners
    -0.65
    mercial
    -0.60
    reens
    -0.59
    tiny
    -0.59
    td
    -0.58
    ews
    -0.57
     Annotations
    -0.57
     ................
    -0.57
    POSITIVE LOGITS
    %:
    0.76
    hest
    0.70
     relates
    0.69
     ever
    0.68
     involves
    0.68
     besides
    0.68
     concern
    0.67
    BIP
    0.66
    ]:
    0.65
    mentioned
    0.64
    Activations Density 0.701%

    No Known Activations