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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. 9-RES-JB
    11. 2810
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    Explanations

    verbs and adjectives related to judgment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to states of being or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.83
    afia
    -0.78
    orsi
    -0.76
    odore
    -0.67
    inav
    -0.66
    mens
    -0.66
    culosis
    -0.65
     Inventory
    -0.65
     truce
    -0.65
     Dough
    -0.64
    POSITIVE LOGITS
     outwe
    1.24
     accompanied
    1.18
     countered
    1.17
     replaced
    1.16
     undone
    1.13
     discarded
    1.11
     handled
    1.10
     punishable
    1.10
     reproduced
    1.10
     ignored
    1.09
    Activations Density 0.391%

    No Known Activations