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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. 8-RES-JB
    11. 12376
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    Explanations

    names starting with "Har" and potentially discussing a variety of topics

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the prefix "har" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rete
    -0.72
     subp
    -0.67
     contrace
    -0.67
     guarant
    -0.64
    ©¶æ
    -0.63
    mate
    -0.62
    orius
    -0.60
    nces
    -0.60
    psc
    -0.59
    İĭ
    -0.58
    POSITIVE LOGITS
    schild
    0.72
    uku
    0.70
    aughs
    0.68
    ween
    0.68
    uchi
    0.68
    idays
    0.67
    inen
    0.65
    anto
    0.64
    une
    0.62
    rish
    0.62
    Activations Density 0.150%

    No Known Activations