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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
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    Explanations

    phrases related to furniture or objects used for lying down or resting, like beds

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bed" in various contexts

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

    No Comments

    Negative Logits
    £ı
    -0.78
    abeth
    -0.71
    owa
    -0.68
     antioxid
    -0.68
     contrace
    -0.67
     cannabin
    -0.65
     nomine
    -0.65
     postage
    -0.63
     pancakes
    -0.62
     actionGroup
    -0.61
    POSITIVE LOGITS
    ding
    1.10
    dit
    0.96
    bed
    0.92
    bing
    0.92
    ded
    0.91
    rill
    0.83
    ford
    0.83
    itated
    0.74
    rock
    0.74
    ilitation
    0.74
    Activations Density 0.009%

    No Known Activations