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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. 9999
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    Explanations

    phrases related to screen sizes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of screen sizes

    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
    actionDate
    -0.76
    effects
    -0.74
    nda
    -0.69
    ggies
    -0.69
    perty
    -0.68
    activ
    -0.66
    lde
    -0.66
    gettable
    -0.65
    funding
    -0.65
    spell
    -0.64
    POSITIVE LOGITS
     diameter
    1.00
    itudinal
    1.00
     circumference
    0.89
     taller
    0.79
     tall
    0.77
     diagonal
    0.75
     stature
    0.73
     thickness
    0.72
     width
    0.72
     thick
    0.72
    Activations Density 0.027%

    No Known Activations