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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. 7881
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    Explanations

    phrases related to urgent actions or important matters

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing important and sensational topics, particularly related to animals and social issues

    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
     Hok
    -0.66
    FTWARE
    -0.63
     Astral
    -0.60
     Mankind
    -0.59
     Gadget
    -0.58
     Published
    -0.58
     Grimoire
    -0.57
    ministic
    -0.57
     Hann
    -0.57
     ().
    -0.56
    POSITIVE LOGITS
    ]."
    0.80
    ?]
    0.79
     interven
    0.71
    ollah
    0.70
    }\
    0.66
    ]'
    0.64
    )."
    0.64
    aquin
    0.64
    clinton
    0.63
    ').
    0.63
    Activations Density 0.059%

    No Known Activations