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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. 6-RES-JB
    11. 17853
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    Explanations

    phrases related to spending time in different environments or locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "spending time in" various locations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    henko
    -0.84
    selves
    -0.71
    ayer
    -0.71
    entity
    -0.67
    ($
    -0.67
    ield
    -0.66
    ¶ħ
    -0.66
    Percent
    -0.66
    catentry
    -0.66
    çĶ°
    -0.65
    POSITIVE LOGITS
     solitude
    0.97
     solitary
    0.86
     caves
    0.81
    pless
    0.78
     tents
    0.76
     cub
    0.74
    cluded
    0.73
     prostitutes
    0.73
     meditation
    0.71
     cramped
    0.70
    Activations Density 0.242%

    No Known Activations