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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. 12-RES-JB
    11. 4971
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    INDEX
    Explanations

    mentions of movement towards a specific destination

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    infinitive forms of verbs, particularly those that suggest action or intention

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     raised
    -0.61
     coming
    -0.60
     isn
    -0.59
     in
    -0.58
     apart
    -0.56
     doesn
    -0.55
     laid
    -0.55
     and
    -0.55
     coupled
    -0.55
     at
    -0.55
    POSITIVE LOGITS
    ggles
    1.12
    ilet
    0.96
    dos
    0.93
    ffee
    0.87
    asters
    0.85
    Ô
    0.84
    pload
    0.84
     initialize
    0.81
    String
    0.81
    ù
    0.81
    Activations Density 0.098%

    No Known Activations