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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. 0-RES-JB
    11. 11687
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    INDEX
    Explanations

    phrases related to steep inclines or sharp increases

    oai_token-act-pair · gpt-3.5-turbo

    references to steepness or steep inclines in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":["
    -0.74
     Backup
    -0.73
    essa
    -0.72
     Operator
    -0.66
     Editing
    -0.65
    operation
    -0.64
    nes
    -0.63
    esm
    -0.62
    mail
    -0.62
    chan
    -0.60
    POSITIVE LOGITS
     steep
    3.91
     precip
    1.41
    eeper
    1.21
     slope
    1.20
     slopes
    1.19
     uphill
    1.12
     rocky
    1.07
     hefty
    1.06
     gradual
    1.04
     sharply
    1.02
    Activations Density 0.010%

    No Known Activations