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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. 2-RES-JB
    11. 18473
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    Explanations

    terms related to rules, observation, and intervention in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words associated with intensity and rarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -0.48
     ..........
    -0.47
     âĢº
    -0.45
    taboola
    -0.45
    ----
    -0.44
    Engineers
    -0.42
    Enlarge
    -0.41
     corpor
    -0.41
    mx
    -0.40
    ĵĺ
    -0.40
    POSITIVE LOGITS
    ebted
    0.54
     Hera
    0.47
    eport
    0.47
    hower
    0.47
    schild
    0.46
    imore
    0.45
    ucer
    0.44
    ahime
    0.44
    ultimate
    0.43
    ensable
    0.42
    Activations Density 2.927%

    No Known Activations