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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. 13877
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    Explanations

    phrases describing small amounts or degrees

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express slight adjustments or modifications

    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
    aring
    -0.77
    DragonMagazine
    -0.69
    rets
    -0.69
     PID
    -0.68
    ruption
    -0.68
    ariat
    -0.67
    Ò
    -0.67
    tymology
    -0.67
     plur
    -0.67
    reating
    -0.66
    POSITIVE LOGITS
     stra
    0.87
     bit
    0.79
     overboard
    0.73
     bc
    0.68
     differently
    0.68
     sooner
    0.67
    ¶ħ
    0.66
     ago
    0.65
     offensively
    0.65
    ighter
    0.65
    Activations Density 0.160%

    No Known Activations