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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. 2-RES-JB
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    Explanations

    the word "consequences"

    oai_token-act-pair · gpt-4-turbo

    phrases related to consequences and results

    oai_token-act-pair · gpt-3.5-turbo

    mentions of consequences in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bor
    -0.87
    ten
    -0.77
    ctic
    -0.76
    este
    -0.76
    uni
    -0.75
    rooms
    -0.74
    jet
    -0.74
    yss
    -0.72
    ths
    -0.72
    ymph
    -0.71
    POSITIVE LOGITS
     consequences
    1.23
     repercussions
    0.99
     implications
    0.93
     ramifications
    0.93
     fallout
    0.92
     reperc
    0.87
    DragonMagazine
    0.84
     havoc
    0.83
     consequence
    0.82
     thereof
    0.78
    Activations Density 0.011%

    No Known Activations