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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. 2-RES-JB
    11. 15620
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    Explanations

    words related to disciplinary actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of suspensions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.79
    rics
    -0.73
     Generations
    -0.72
    åĮ
    -0.72
    ipped
    -0.68
    llers
    -0.68
    icians
    -0.67
    rote
    -0.66
    PT
    -0.66
    lish
    -0.65
    POSITIVE LOGITS
     suspensions
    1.18
     suspension
    1.16
     suspending
    0.99
     suspend
    0.93
     suspended
    0.90
     disbelief
    0.88
     derail
    0.75
     indefinitely
    0.74
    ishment
    0.74
     seiz
    0.72
    Activations Density 0.008%

    No Known Activations