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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. 5-RES-JB
    6. 14669
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    Explanations

    years in the 1990s, with a particularly high activation for the year 1990

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1990 and its context within historical narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hire
    -0.78
    bow
    -0.74
    holder
    -0.70
     lightsaber
    -0.69
     clipboard
    -0.69
    edge
    -0.69
    Edge
    -0.68
    llers
    -0.67
    cloth
    -0.67
    semble
    -0.67
    POSITIVE LOGITS
    ĸļ
    1.02
    ãĤ¦ãĤ¹
    0.74
     GOODMAN
    0.70
    ãĥŁ
    0.69
    cture
    0.68
    ãĥ¤
    0.65
    emonium
    0.65
    aji
    0.64
    zsche
    0.64
    å¹
    0.63
    Activations Density 0.017%

    No Known Activations