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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. 10-RES-JB
    11. 12287
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    Explanations

    phrases related to the impact or potential consequences of actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential effects or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odcast
    -0.84
    iscover
    -0.77
    ahime
    -0.76
    pherd
    -0.72
    lass
    -0.71
    ragon
    -0.69
    athon
    -0.67
    raid
    -0.67
    earch
    -0.67
    leeve
    -0.66
    POSITIVE LOGITS
     same
    1.17
     effect
    1.11
     utmost
    1.10
     implication
    1.09
     advantage
    1.04
     slightest
    1.03
     potential
    1.02
     opposite
    1.02
     tendency
    0.98
     greatest
    0.98
    Activations Density 0.090%

    No Known Activations