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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. 7-RES-JB
    11. 4389
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    Explanations

    phrases related to numerical lists or sequences

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions, particularly the word "and"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andem
    -0.62
     Quant
    -0.60
     Epidem
    -0.59
    '>
    -0.59
     Sawyer
    -0.58
    ISA
    -0.58
     Wing
    -0.58
     PUBLIC
    -0.57
     Sage
    -0.57
     wedd
    -0.57
    POSITIVE LOGITS
    oras
    0.71
    ruct
    0.64
    liga
    0.64
    ðŁij
    0.63
    etc
    0.62
    assic
    0.62
    âĶ
    0.61
    bley
    0.61
    akings
    0.60
    ##
    0.60
    Activations Density 0.384%

    No Known Activations