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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. 3-RES-JB
    11. 6527
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    INDEX
    Explanations

    references to sports suspensions and related disciplinary actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of suspensions related to events or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.84
    rics
    -0.80
    rium
    -0.77
    åĮ
    -0.74
    agog
    -0.72
    rote
    -0.71
    acle
    -0.70
    acles
    -0.69
    llers
    -0.68
     Wonders
    -0.67
    POSITIVE LOGITS
     suspensions
    1.12
     suspension
    1.11
     suspending
    0.92
     disbelief
    0.88
     suspend
    0.85
    ishment
    0.84
     suspended
    0.79
     indefinitely
    0.76
     derail
    0.71
     moratorium
    0.70
    Activations Density 0.006%

    No Known Activations