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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. 6-RES-JB
    11. 19648
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    Explanations

    phrases related to specific objects or concepts, such as "oxygen supplies" and "electricity grid"

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and topics related to health, environment, and legal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.69
    ggles
    -0.66
    agall
    -0.61
    âĺĨ
    -0.61
    ifice
    -0.60
    infeld
    -0.58
    umblr
    -0.58
    edy
    -0.55
    OHN
    -0.55
    vez
    -0.54
    POSITIVE LOGITS
    pox
    0.65
    vale
    0.57
     discrimination
    0.56
    worth
    0.54
    ãĥ
    0.53
    iculture
    0.53
     tattoo
    0.53
     billboards
    0.52
    bestos
    0.51
    shaw
    0.51
    Activations Density 1.083%

    No Known Activations