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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. 6-RES-JB
    6. 17248
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    Explanations

    government or organizational activities related to conducting investigations, meetings, studies, or operations

    oai_token-act-pair · gpt-3.5-turbo

    usage of the verb "conduct" and its variations in various contexts

    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
    cube
    -0.68
    loaded
    -0.66
    stick
    -0.66
    itching
    -0.66
    thirst
    -0.66
    tek
    -0.65
    sticks
    -0.63
    ku
    -0.63
    fires
    -0.62
    enny
    -0.62
    POSITIVE LOGITS
     err
    0.81
    uations
    0.79
    onduct
    0.77
    ativity
    0.76
    spection
    0.75
    ional
    0.75
    atform
    0.73
     interviews
    0.73
    uate
    0.71
    ORS
    0.70
    Activations Density 0.029%

    No Known Activations