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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. 3034
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    INDEX
    Explanations

    phrases indicating negation or denial

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the verb "be" in various contexts

    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
     brace
    -0.66
     compose
    -0.65
    strous
    -0.65
     srfAttach
    -0.65
     guise
    -0.64
     traverse
    -0.62
     showc
    -0.62
     clarify
    -0.61
     Might
    -0.61
     premise
    -0.60
    POSITIVE LOGITS
     anymore
    1.22
     able
    1.11
     bothered
    1.05
     necessarily
    0.94
     anywhere
    0.90
     counted
    0.87
    fitting
    0.83
     tolerated
    0.82
     entirely
    0.81
     bothering
    0.81
    Activations Density 0.115%

    No Known Activations