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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. 22696
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    Explanations

    various text formatting elements like headings and lists rather than specific types of content

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases, particularly those denoting victories or contests

    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
     understanding
    -0.60
     Ar
    -0.58
    Cass
    -0.58
    Interview
    -0.56
    Writ
    -0.55
     apr
    -0.55
     cous
    -0.55
     Honor
    -0.55
     hospitality
    -0.55
     Feder
    -0.53
    POSITIVE LOGITS
     ..............
    0.77
    )=(
    0.77
    =-=-=-=-
    0.76
    !!!!!
    0.75
    igi
    0.73
    -|
    0.73
    !!!!
    0.72
    whatever
    0.69
    âĢ¦âĢ¦
    0.68
    .......
    0.68
    Activations Density 0.139%

    No Known Activations