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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. 2065
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    Explanations

    phrases relating to noticing and attention

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific actions or attributes related to observation or assessment

    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
     Moroc
    -0.62
     referen
    -0.58
    ãĥ¼ãĥĨãĤ£
    -0.49
    edIn
    -0.48
    chuk
    -0.47
    acebook
    -0.46
    æµ
    -0.46
     [|
    -0.46
    osate
    -0.42
    ãĥ¼ãĥĨ
    -0.42
    POSITIVE LOGITS
     largeDownload
    0.49
    ctive
    0.43
     Shroud
    0.43
    ANS
    0.41
    othes
    0.41
    gor
    0.41
    MEN
    0.40
    geon
    0.40
    mosp
    0.40
    rians
    0.40
    Activations Density 2.283%

    No Known Activations