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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. 9-RES-JB
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    Explanations

    phrasal verbs featuring the word "eye"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letters "ey" within words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.82
    ULAR
    -0.78
    mint
    -0.77
    ivities
    -0.72
    iants
    -0.71
    ularity
    -0.67
    اÙĦ
    -0.64
     heartbeat
    -0.63
    Spread
    -0.62
    iveness
    -0.62
    POSITIVE LOGITS
    ewitness
    1.28
    kj
    1.28
     Myster
    0.92
    er
    0.86
    ipel
    0.85
    eker
    0.79
    oshi
    0.77
    enne
    0.76
    ield
    0.74
    gie
    0.74
    Activations Density 0.046%

    No Known Activations