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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. 21427
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    Explanations

    actions or tasks that need to be carried out

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating intention or action related to making plans and commitments

    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
    quart
    -0.69
    quartered
    -0.67
    ullah
    -0.65
    ritical
    -0.65
    esan
    -0.63
    thodox
    -0.63
    zai
    -0.61
    arming
    -0.60
    vec
    -0.59
    bian
    -0.59
    POSITIVE LOGITS
    ãĥ¼
    0.69
    IVERS
    0.66
     plenty
    0.65
    anmar
    0.64
     sooner
    0.63
     someday
    0.63
    âĶĢ
    0.63
    âķIJ
    0.59
     wherever
    0.59
    ãĥ¼ãĥ
    0.59
    Activations Density 0.097%

    No Known Activations