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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. 12126
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    Explanations

    references to zooming in detail

    oai_token-act-pair · gpt-3.5-turbo

    terms related to zoom levels and focus in visual 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
    lain
    -0.75
    VEN
    -0.70
    rase
    -0.70
    ndra
    -0.69
    AFTA
    -0.68
    ãĥĨãĤ£
    -0.67
    女
    -0.66
    aves
    -0.66
    nant
    -0.65
    sol
    -0.65
    POSITIVE LOGITS
    ooming
    1.05
     Zoom
    0.96
    oom
    0.94
     Lens
    0.91
     zoom
    0.87
    itsch
    0.83
    itized
    0.81
     zo
    0.76
    opy
    0.76
    osc
    0.76
    Activations Density 0.009%

    No Known Activations