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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. 5144
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    Explanations

    instances of particular names or entities within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    instances where the name "Josh" is mentioned

    oai_token-act-pair · gpt-3.5-turbo
    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
    anwhile
    -0.72
     criminals
    -0.64
    ered
    -0.63
    ensional
    -0.61
    eering
    -0.61
    bath
    -0.61
    zsche
    -0.60
    clusively
    -0.59
    ertodd
    -0.59
    cers
    -0.58
    POSITIVE LOGITS
    awk
    1.11
    nikov
    1.07
    adow
    1.01
    ooter
    0.97
    ORTS
    0.95
    tml
    0.95
    ima
    0.94
    ttp
    0.93
    awks
    0.88
    oots
    0.88
    Activations Density 0.019%

    No Known Activations