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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22568
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    Explanations

    references to legal actions or court cases

    oai_token-act-pair · gpt-3.5-turbo

    topics related to legal actions and their implications

    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
    )"
    -0.69
    )</
    -0.68
    ?",
    -0.63
    )\
    -0.62
     Originally
    -0.58
    )'
    -0.57
    )",
    -0.57
     )]
    -0.56
    ?ãĢį
    -0.56
     ?)
    -0.56
    POSITIVE LOGITS
     fronts
    0.55
    piring
    0.55
     anew
    0.55
     homegrown
    0.53
    soDeliveryDate
    0.52
     resurg
    0.52
    ipel
    0.51
    eries
    0.51
    agonists
    0.51
     tantal
    0.50
    Activations Density 1.507%

    No Known Activations