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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. 12224
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    Explanations

    mentions of specific types of nuts, particularly walnuts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of walnuts or related nut terms

    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
    Ĥİ
    -0.71
    hovah
    -0.69
     Plasma
    -0.68
     bargaining
    -0.64
     Relative
    -0.63
     comparative
    -0.63
     transient
    -0.61
     Esper
    -0.61
     Binding
    -0.60
    avers
    -0.60
    POSITIVE LOGITS
    rient
    1.25
    ritional
    1.21
    rients
    1.17
    nut
    1.10
    rition
    1.03
    ridge
    0.98
    ricia
    0.96
    ument
    0.87
    nuts
    0.87
    elia
    0.87
    Activations Density 0.009%

    No Known Activations