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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. 6-RES-JB
    11. 697
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    Explanations

    measurements and quantities expressed in numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements associated with degrees, percentages, and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mub
    -0.60
    instead
    -0.53
    «ĺ
    -0.53
    ãĤ´ãĥ³
    -0.49
     Peb
    -0.49
    ãĤ¤ãĥĪ
    -0.48
    ij士
    -0.48
    estones
    -0.48
     Jagu
    -0.47
     Cth
    -0.46
    POSITIVE LOGITS
    depending
    0.60
    natureconservancy
    0.49
     calories
    0.47
     antidepressant
    0.46
    */(
    0.46
    atible
    0.45
    ITNESS
    0.45
     bicycl
    0.45
    annabin
    0.44
     (~
    0.43
    Activations Density 0.736%

    No Known Activations