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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. 21760
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    Explanations

    textual elements pointing towards published content like blog posts, letters, and editorials

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of written communications or documents

    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
    otin
    -0.64
     incumb
    -0.63
     idols
    -0.61
     bandwagon
    -0.60
    roo
    -0.60
     incumbent
    -0.59
    acists
    -0.59
     tyrann
    -0.59
    rogens
    -0.58
    stall
    -0.58
    POSITIVE LOGITS
    tained
    0.74
     liner
    0.71
     behalf
    0.70
    ãĤ¸
    0.67
    reed
    0.66
    ortex
    0.66
    statement
    0.66
     statement
    0.65
     nutshell
    0.64
    Ñı
    0.64
    Activations Density 0.152%

    No Known Activations