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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. 6-RES-JB
    11. 14131
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    Explanations

    phrases related to instructions and commands

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols, particularly variations of the letter 'I'

    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
     Codec
    -0.73
     decap
    -0.70
     decomp
    -0.69
    GGGGGGGG
    -0.68
     jog
    -0.65
     sacrific
    -0.63
     bung
    -0.63
     vomiting
    -0.63
     horizont
    -0.62
     guru
    -0.62
    POSITIVE LOGITS
    sure
    1.00
    shall
    0.99
    tre
    0.94
    ready
    0.87
    tu
    0.86
    winter
    0.86
    \'
    0.85
    mir
    0.85
    ould
    0.85
    cre
    0.84
    Activations Density 0.443%

    No Known Activations