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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. 9-RES-JB
    11. 14277
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    Explanations

    time spans indicated by numbers or context words such as "during" or "since"

    oai_token-act-pair · gpt-3.5-turbo

    references to durations or periods of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rat
    -0.61
     chant
    -0.61
     Shotgun
    -0.60
     Miss
    -0.60
     Sod
    -0.59
     Medic
    -0.58
     Lars
    -0.57
     protester
    -0.57
     Tradable
    -0.56
     Wildlife
    -0.55
    POSITIVE LOGITS
    eteen
    0.90
     intervening
    0.85
     thereafter
    0.82
    irlf
    0.81
     timeframe
    0.81
     periods
    0.79
    elve
    0.78
    arching
    0.78
    ruary
    0.76
    period
    0.76
    Activations Density 0.408%

    No Known Activations