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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. 0-RES-JB
    11. 571
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    INDEX
    Explanations

    verbs or phrases related to establishing, arranging, or fixing something in place

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of 'sets'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aminer
    -0.75
    vor
    -0.74
    porting
    -0.68
    vice
    -0.67
    bara
    -0.66
    owan
    -0.64
    apple
    -0.64
    agna
    -0.63
    lus
    -0.61
    antle
    -0.60
    POSITIVE LOGITS
     sets
    3.70
    sets
    2.59
     Sets
    2.49
     set
    2.07
     Set
    1.78
    Set
    1.75
    set
    1.74
     pairs
    1.43
     casts
    1.35
     SET
    1.31
    Activations Density 0.010%

    No Known Activations