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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. 8-RES-JB
    11. 8463
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    Explanations

    phrases related to bearing the consequences of actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of receiving rewards or consequences related to efforts or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    croft
    -0.70
     Leilan
    -0.69
    SPONSORED
    -0.63
    usalem
    -0.62
    ciplinary
    -0.61
    thood
    -0.61
    quished
    -0.61
    iffe
    -0.60
    .","
    -0.58
     aloud
    -0.58
    POSITIVE LOGITS
     same
    1.53
     brunt
    1.48
    same
    1.37
     entirety
    1.25
     slightest
    1.20
     heaviest
    1.20
     remainder
    1.14
     hardest
    1.12
     hars
    1.11
     utmost
    1.10
    Activations Density 0.276%

    No Known Activations