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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. 6618
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    INDEX
    Explanations

    words related to intake, such as food intake and medical intake

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with consumption or input measures

    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
    stand
    -0.61
    Fight
    -0.60
    Legend
    -0.60
    Else
    -0.59
     invari
    -0.59
    NRS
    -0.58
    standing
    -0.57
    better
    -0.57
    capt
    -0.57
     Leap
    -0.56
    POSITIVE LOGITS
     Intake
    1.42
     intake
    1.32
     intakes
    1.24
     manifold
    1.05
    ãĥ¼ãĥĨãĤ£
    0.92
     manif
    0.82
    lication
    0.81
    terness
    0.76
    inces
    0.74
    hower
    0.74
    Activations Density 0.006%

    No Known Activations