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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. 7-RES-JB
    11. 16710
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    INDEX
    Explanations

    phrases related to potential outcomes and scenarios, particularly focusing on negative possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scenarios and potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kindred
    -0.83
    andise
    -0.72
    dro
    -0.69
    mor
    -0.67
    chrom
    -0.65
    mad
    -0.65
    ritch
    -0.64
    Japanese
    -0.63
    dropping
    -0.63
    nant
    -0.63
    POSITIVE LOGITS
     scenario
    1.49
     scenarios
    1.26
     outcomes
    0.88
     assumption
    0.86
     outcome
    0.86
     scen
    0.82
     predictions
    0.75
     âĶĤ
    0.75
     circumstances
    0.72
     situations
    0.67
    Activations Density 0.058%

    No Known Activations