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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. 1468
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    Explanations

    references to grass and related contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to grass and related concepts

    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
    icts
    -0.76
    osexual
    -0.67
     Nept
    -0.67
    umbn
    -0.66
     psychiatric
    -0.63
     Siem
    -0.62
    iction
    -0.61
    utral
    -0.61
     prefrontal
    -0.60
    uked
    -0.59
    POSITIVE LOGITS
    roots
    1.28
    lands
    1.19
    ho
    1.18
    wood
    1.03
    flower
    0.98
    grass
    0.97
    woods
    0.96
    leaf
    0.94
    nut
    0.93
     airst
    0.93
    Activations Density 0.024%

    No Known Activations