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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. 330
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    INDEX
    Explanations

    the phrase "let me tell you"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that address or engage the audience directly

    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
    otom
    -0.77
    ģ«
    -0.74
    BuyableInstoreAndOnline
    -0.70
    Pg
    -0.68
    ilde
    -0.67
     Nebula
    -0.66
    ioned
    -0.65
    ega
    -0.64
    entimes
    -0.64
    eca
    -0.63
    POSITIVE LOGITS
     guys
    1.25
    're
    0.94
    tub
    0.90
    RS
    0.76
     filthy
    0.71
    =>
    0.70
    âĸij
    0.70
     SQU
    0.70
    STON
    0.69
     gentlemen
    0.69
    Activations Density 0.051%

    No Known Activations