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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. 4-RES-JB
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    Explanations

    information related to success or performance in a specific field or domain

    oai_token-act-pair · gpt-3.5-turbo

    references to "field."

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

    No Comments

    Negative Logits
    éĹĺ
    -0.79
    Priv
    -0.74
    bian
    -0.74
     BaseType
    -0.71
    ILA
    -0.70
    ilyn
    -0.69
    DIT
    -0.69
    ï¸
    -0.64
     Seas
    -0.63
    doms
    -0.63
    POSITIVE LOGITS
    plane
    0.81
    field
    0.81
    grass
    0.80
    cloth
    0.80
    keepers
    0.77
    keeping
    0.75
    side
    0.74
    ftime
    0.72
    idable
    0.72
    fields
    0.72
    Activations Density 0.018%

    No Known Activations