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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. 4-RES-JB
    11. 19499
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    Explanations

    mentions of specific locations or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating groups of people or communities

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

    No Comments

    Negative Logits
    ertodd
    -0.68
     haze
    -0.66
     reimburse
    -0.64
    ÃŁ
    -0.61
    arella
    -0.60
    Features
    -0.60
     externalToEVAOnly
    -0.59
    abre
    -0.59
    ettel
    -0.59
     seams
    -0.58
    POSITIVE LOGITS
     whom
    0.82
    ortunately
    0.76
     course
    0.73
    sembly
    0.70
     households
    0.69
     homes
    0.69
    abase
    0.68
    pires
    0.65
     Greater
    0.64
     theirs
    0.64
    Activations Density 0.140%

    No Known Activations