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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. 10-RES-JB
    11. 4615
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    INDEX
    Explanations

    references to sporting events and achievements

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.91
    ourced
    -0.71
    nance
    -0.69
    strap
    -0.68
    heit
    -0.67
    BILITIES
    -0.65
    Reason
    -0.64
    akra
    -0.64
    ifer
    -0.63
    nesty
    -0.63
    POSITIVE LOGITS
     midst
    1.40
     playoffs
    1.12
     meantime
    1.11
     trenches
    1.07
     aftermath
    1.07
     middle
    1.01
     semifinals
    0.99
     backfield
    0.99
     rematch
    0.98
     standings
    0.97
    Activations Density 0.123%

    No Known Activations