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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8821
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    INDEX
    Explanations

    references to credits and specific individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "include" and its variations in lists or examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.73
    aptic
    -0.72
    orce
    -0.72
    uters
    -0.71
    enser
    -0.70
    ifact
    -0.69
    atal
    -0.69
    uers
    -0.69
    wan
    -0.68
    ould
    -0.68
    POSITIVE LOGITS
    :'
    0.69
    :#
    0.69
    :-
    0.63
     flashbacks
    0.62
     weddings
    0.61
    :
    0.61
     those
    0.61
     prominently
    0.60
     Daredevil
    0.60
     Blaster
    0.59
    Activations Density 0.054%

    No Known Activations