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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. 9485
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    INDEX
    Explanations

    chemical compounds or food additives

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names, particularly those starting with the letter 'L'

    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
     stoked
    -0.71
     tremend
    -0.71
     constitu
    -0.70
    ħĭ
    -0.70
    éĹĺ
    -0.68
    EStream
    -0.67
    ãĥ¯ãĥ³
    -0.66
    ij士
    -0.64
     behavi
    -0.63
     nomine
    -0.62
    POSITIVE LOGITS
    azy
    1.21
    ayers
    1.14
    adders
    1.11
    oyd
    1.08
    oom
    1.08
    ifestyle
    1.08
    enny
    1.06
    yrics
    1.05
    ibraries
    1.04
    asso
    1.04
    Activations Density 0.029%

    No Known Activations