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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. 12-RES-JB
    11. 2590
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    Explanations

    information related to sports events and matches

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    elements related to event scheduling and attendance details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     countered
    -0.61
     outwe
    -0.60
     hurting
    -0.56
    someone
    -0.55
    something
    -0.55
     lacks
    -0.55
    hes
    -0.55
    wrong
    -0.54
     without
    -0.54
     apologized
    -0.54
    POSITIVE LOGITS
     each
    1.08
     this
    0.86
     these
    0.84
    each
    0.82
    eatures
    0.77
    neath
    0.76
     both
    0.75
     tonight
    0.68
    Each
    0.67
     Admission
    0.66
    Activations Density 0.463%

    No Known Activations