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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. 3-RES-JB
    11. 20641
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    INDEX
    Explanations

    numbers at the start of a particular format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character '¹'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nect
    -0.83
     hitch
    -0.83
    sonian
    -0.82
    emouth
    -0.78
    istically
    -0.77
    mercial
    -0.75
    essential
    -0.74
    */(
    -0.72
    gdala
    -0.72
    berra
    -0.71
    POSITIVE LOGITS
    ³
    1.05
    Į
    0.97
    ²
    0.96
    ת
    0.96
    ÙĨ
    0.92
    ¹
    0.91
    ´
    0.90
    Ö¼
    0.87
    ÙĦ
    0.87
    ħ
    0.86
    Activations Density 0.005%

    No Known Activations