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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. 17640
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    Explanations

    sentences describing tasks or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the process of achievement or significance

    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
    luaj
    -0.76
     plates
    -0.66
    izens
    -0.65
    umbs
    -0.62
    bats
    -0.62
    sburg
    -0.62
    chev
    -0.61
     Nig
    -0.60
    bies
    -0.60
     personalities
    -0.58
    POSITIVE LOGITS
     contrasted
    0.95
     borne
    0.91
     certainly
    0.85
     also
    0.83
     understandable
    0.79
     analogous
    0.78
     essentially
    0.78
     undoubtedly
    0.77
     especially
    0.77
     likely
    0.76
    Activations Density 0.189%

    No Known Activations