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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. 13753
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    INDEX
    Explanations

    phrases introducing explanations or clarifications

    oai_token-act-pair · gpt-3.5-turbo

    statements of definition or assertion

    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
    bies
    -0.79
    luaj
    -0.67
    inav
    -0.56
     peg
    -0.55
    ctive
    -0.55
     paths
    -0.55
    udeau
    -0.54
     captcha
    -0.54
    itches
    -0.53
     barg
    -0.53
    POSITIVE LOGITS
    nt
    0.80
    LAND
    0.74
     indeed
    0.69
    ĺħ
    0.67
     guiActiveUn
    0.65
    rael
    0.65
    hemy
    0.65
     why
    0.64
     defin
    0.64
    pure
    0.64
    Activations Density 0.087%

    No Known Activations