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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. 2-RES-JB
    11. 4202
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    Explanations

    phrases related to focusing or paying attention

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "concentrate" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RESULTS
    -0.73
    wn
    -0.73
     Logged
    -0.69
    ne
    -0.67
     Kardashian
    -0.67
    anne
    -0.63
    76561
    -0.62
    elly
    -0.61
    clad
    -0.61
    ozo
    -0.60
    POSITIVE LOGITS
     concentrate
    0.89
    washer
    0.82
     Concent
    0.80
    ctor
    0.77
    rador
    0.76
    glomer
    0.74
    hift
    0.73
     concentration
    0.72
    getic
    0.72
    pai
    0.72
    Activations Density 0.012%

    No Known Activations