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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. 7924
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    Explanations

    pronouns or nouns related to actions or states, such as "we," "I," "can," "have."

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and references to collective experiences

    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
     srfAttach
    -0.78
     Romeo
    -0.70
     Saud
    -0.65
     Gins
    -0.65
     Sutherland
    -0.64
     Speaker
    -0.64
    listed
    -0.63
    Asset
    -0.63
    hesda
    -0.63
    forms
    -0.62
    POSITIVE LOGITS
     forgot
    0.91
    've
    0.88
    'll
    0.87
     encount
    0.85
     perceive
    0.83
    athered
    0.82
     prefer
    0.81
     halluc
    0.80
    'm
    0.79
     couldn
    0.79
    Activations Density 0.533%

    No Known Activations