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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. 7-RES-JB
    11. 13715
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    Explanations

    mentions and instances of the word "Hello"

    oai_token-act-pair · gpt-3.5-turbo

    instances of "Hello" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arian
    -0.91
    aic
    -0.85
    rations
    -0.84
    iculture
    -0.82
    pite
    -0.81
    ifiable
    -0.81
    ipl
    -0.80
    iel
    -0.78
    nutrition
    -0.78
    arians
    -0.78
    POSITIVE LOGITS
     Kitty
    1.03
     hello
    0.81
     Neighbor
    0.77
    !.
    0.76
    ãĥ¼ãĥ«
    0.75
    CHR
    0.71
    !
    0.69
     Hello
    0.68
    !,
    0.67
    !'
    0.67
    Activations Density 0.022%

    No Known Activations