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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7723
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    Explanations

    short phrases starting with "It" and describing an item or experience in qualitative terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "It" used in positive contexts

    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
    anton
    -0.68
    Ĥ¬
    -0.63
     Corpus
    -0.61
    dding
    -0.60
     dstg
    -0.59
     persuasion
    -0.58
    Priv
    -0.57
    å½
    -0.57
     ILCS
    -0.56
    hips
    -0.56
    POSITIVE LOGITS
     contains
    1.20
    alian
    1.15
     seems
    1.14
    's
    1.09
     consists
    1.09
    unes
    1.08
    'll
    1.02
     wasn
    1.01
     incorporates
    1.01
     resembles
    1.01
    Activations Density 0.295%

    No Known Activations