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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. 1-RES-JB
    11. 23075
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    Explanations

    phrases related to refraining or abstaining from something in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the act of receiving or rejecting requests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Coastal
    -0.64
     Wet
    -0.61
    slow
    -0.59
    amazon
    -0.58
     Hour
    -0.56
    ucket
    -0.56
    dim
    -0.55
     Scale
    -0.55
     Small
    -0.55
    wy
    -0.55
    POSITIVE LOGITS
    untled
    0.83
    oice
    0.83
    ictions
    0.83
    arations
    0.80
    ciating
    0.79
    atives
    0.79
    itory
    0.78
    abilia
    0.77
    eering
    0.77
    acters
    0.76
    Activations Density 0.415%

    No Known Activations