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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. 9-RES-JB
    11. 23120
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific formatting or pattern, likely relating to specific headers or categories in a structured document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dere
    -0.72
     BMC
    -0.64
     Pharaoh
    -0.63
     blot
    -0.60
     Gent
    -0.60
     foil
    -0.60
     impunity
    -0.60
     Homo
    -0.60
     Gutenberg
    -0.60
     Bet
    -0.59
    POSITIVE LOGITS
    rief
    1.28
    odies
    1.27
    ranch
    1.23
    udget
    1.22
    EGIN
    1.19
    OTH
    1.19
    ishop
    1.16
    izarre
    1.16
    aghd
    1.15
    rought
    1.14
    Activations Density 0.047%

    No Known Activations