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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. 3-RES-JB
    11. 33
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    INDEX
    Explanations

    phrases indicating a situation or condition

    oai_token-act-pair · gpt-3.5-turbo

    phrases that assert a condition or situation is true

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autical
    -0.82
    pez
    -0.80
    airs
    -0.80
    atomic
    -0.79
    orks
    -0.77
     srf
    -0.74
    rophic
    -0.73
    egu
    -0.73
    nesday
    -0.72
    ractions
    -0.72
    POSITIVE LOGITS
    cases
    1.08
    case
    0.84
     Keen
    0.83
    backs
    0.82
    DragonMagazine
    0.79
     case
    0.73
     Case
    0.70
    back
    0.70
     Heller
    0.68
     Canaver
    0.67
    Activations Density 0.033%

    No Known Activations