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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. 1-RES-JB
    11. 21066
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    INDEX
    Explanations

    references to discovering or locating something in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "found" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idium
    -0.74
     paced
    -0.71
    assisted
    -0.69
    pg
    -0.65
    arta
    -0.64
     partic
    -0.63
    weather
    -0.62
    inducing
    -0.62
    ided
    -0.61
    ascus
    -0.60
    POSITIVE LOGITS
    ãĤ¼
    0.86
    Ô
    0.83
    ãģ®å
    0.83
    -+-+
    0.81
    ãĤ¤ãĥĪ
    0.81
     found
    0.79
    gdala
    0.76
    eele
    0.75
    ä¸ī
    0.73
    Ö¼
    0.72
    Activations Density 0.040%

    No Known Activations