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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. 11-RES-JB
    11. 13812
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    Explanations

    words related to impacts and consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "impact" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    corn
    -0.72
    swick
    -0.68
    vision
    -0.67
     Templ
    -0.65
    IDE
    -0.61
     Haram
    -0.60
    hew
    -0.59
    baum
    -0.59
    atts
    -0.59
    croft
    -0.58
    POSITIVE LOGITS
    ful
    1.25
    iveness
    0.92
    eless
    0.85
    eful
    0.82
     crater
    0.81
    onies
    0.80
    oral
    0.80
     upon
    0.79
    oric
    0.79
    fulness
    0.78
    Activations Density 0.051%

    No Known Activations