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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 19477
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    Explanations

    adverbs ending in 'ly' with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe the manner in which actions are performed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Unch
    -0.57
     NETWORK
    -0.54
    ACC
    -0.53
    BIP
    -0.52
    RECT
    -0.51
     Confederation
    -0.51
     fateful
    -0.50
    adr
    -0.50
    ODUCT
    -0.49
     purported
    -0.48
    POSITIVE LOGITS
    ly
    4.25
    LY
    2.85
    liness
    2.07
    lys
    2.03
    liest
    1.96
    lly
    1.82
    lier
    1.74
    lies
    1.74
    fully
    1.64
    ELY
    1.50
    Activations Density 0.043%

    No Known Activations