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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. 19734
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    Explanations

    words related to sports or sporting activities

    oai_token-act-pair · gpt-3.5-turbo

    the word "port" and variations related to it

    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
    pta
    -0.76
    zers
    -0.75
    oxide
    -0.73
    perse
    -0.69
    andel
    -0.66
    orah
    -0.66
    soever
    -0.64
     reckoning
    -0.63
    ãĥ£
    -0.63
    aida
    -0.63
    POSITIVE LOGITS
    folios
    1.40
    rait
    1.38
    raits
    1.27
    folio
    1.22
    ugal
    1.09
    ocity
    0.89
    eur
    0.89
    ality
    0.87
    nell
    0.78
    arent
    0.78
    Activations Density 0.017%

    No Known Activations